Learn Amp MCP Server for LlamaIndexGive LlamaIndex instant access to 10 tools to Complete Item, Create User, Deactivate User, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Learn Amp as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this App Connector for LlamaIndex
The Learn Amp app connector for LlamaIndex is a standout in the Productivity category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Learn Amp. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Learn Amp?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Learn Amp MCP Server
Connect your Learn Amp organizational account to any AI agent and take full control of your learning and development workflows through natural conversation.
LlamaIndex agents combine Learn Amp tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- User Management — List all users, create new accounts, and manage profile data across your organization.
- Content & Courses — Query the complete library of learning items, documents, and interactive courses.
- Learning Pathways — List and inspect Learnlists to understand curated employee development tracks.
- Progress Tracking — Mark items as complete and monitor engagement verbs across the platform.
- Access Control — Deactivate or reactivate user accounts to maintain a secure and up-to-date directory.
The Learn Amp MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 10 Learn Amp tools available for LlamaIndex
When LlamaIndex connects to Learn Amp through Vinkius, your AI agent gets direct access to every tool listed below — spanning lxp, lms, employee-development, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Mark a learning item as complete for a user
Create a new user in Learn Amp
The user data remains but they can no longer log in. Deactivate a user account
Get details for a specific learnlist
Get details for a specific user
List all learning items (courses, content)
List all learnlists (learning pathways)
List all users from Learn Amp
List all available action verbs
Update an existing user
Connect Learn Amp to LlamaIndex via MCP
Follow these steps to wire Learn Amp into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Learn Amp MCP Server
LlamaIndex provides unique advantages when paired with Learn Amp through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Learn Amp tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Learn Amp tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Learn Amp, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Learn Amp tools were called, what data was returned, and how it influenced the final answer
Learn Amp + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Learn Amp MCP Server delivers measurable value.
Hybrid search: combine Learn Amp real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Learn Amp to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Learn Amp for fresh data
Analytical workflows: chain Learn Amp queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Learn Amp in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Learn Amp immediately.
"List all active users in my Learn Amp account."
"Show me all available courses related to 'Compliance'."
"Mark course 8823 as completed for user 1029."
Troubleshooting Learn Amp MCP Server with LlamaIndex
Common issues when connecting Learn Amp to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpLearn Amp + LlamaIndex FAQ
Common questions about integrating Learn Amp MCP Server with LlamaIndex.